Deep Parametric Time-to-Event Regression with Time-Varying Covariates.
Chirag NagpalVincent JeanselmeArtur DubrawskiPublished in: SPACA (2021)
Keyphrases
- regression model
- regression coefficients
- semi parametric
- regression analysis
- regression methods
- model selection
- response variable
- canonical correlation analysis
- sample size
- event detection
- explanatory variables
- linear regression
- parametric models
- ridge regression
- support vector regression
- regression method
- locally weighted
- logistic regression
- regression algorithm
- regression function
- news stories
- event recognition
- gaussian process
- regression problems
- objective function
- gaussian processes
- upper bound